Selected Publications
For a full list of publications, please visit my
Google Scholar profile.
Papers with contribution-order authorship are indicated, and equal contributions are marked with * or ^. Generally, these will put the students as first-author, with equal contribution amongst the senior authors.
-
DriftXpress: Faster Drifting Models via Projected RKHS Fields,
In Submission.
[code]
Ali Falahati, Elliot Creager*, Gautam Kamath*, Shubhankar Mohapatra*
-
CAPID: Context-Aware PII Detection for Question-Answering Systems,
EACL SRW 2026.
[code]
Mariia Ponomarenko, Sepideh Abedini, Masoumeh Shafieinejad, D.B.Emerson, Shubhankar Mohapatra, Xi He
-
MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction,
NeurIPS 2025 (Regulatable ML Workshop).
Sepideh Abedini, Shubhankar Mohapatra, D. B. Emerson, Masoumeh Shafieinejad, Jesse C. Cresswell, Xi He
-
Inconsistency measures for Differentially Private databases,
SIGMOD 2025 (also in TPDP 24).
[code]
[poster]
[slides]
Shubhankar Mohapatra, Amir Gilad*, Xi He*, Benny Kimelfeld*
-
Differentially Private Data Generation with Missing Data,
VLDB 2024 (also in TPDP 22).
[code]
[poster]
[slides]
Shubhankar Mohapatra, Jianqiao Zong, Florian Kerschbaum, Xi He
-
Rethinking Benchmarks for Private Image Classification,
IEEE TCDE Bulletin Vol. 49 No. 4, 2025.
[code]
Sabrina Mokhtari*, Shubhankar Mohapatra*, Sara Kodeiri*, Florian Tramèr, Gautam Kamath
-
The Role of Adaptive Optimizers for Honest Hyperparameter Tuning,
AAAI 2022 (also in TPDP 21).
[code]
[poster]
[slides]
Shubhankar Mohapatra*, Sajin Sasy*, Xi He^, Gautam Kamath^, Om Thakkar^
-
Kamino: Constraint-Aware Differentially Private Data Synthesis,
VLDB 2021.
[code]
Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F. Ilyas
Others
-
TaxiTrip-Synthesizer,
Differential Privacy Temporal Map Challenge (DeID2).
[code]
Christian Covington, Karl Knopf, Shubhankar Mohapatra Mohapatra, Shufan Zhang